Our Science team is focused on delivering holistic solutions from data input through to detailed analysis, and this requires our members to be scientists who have lived the day-to-day of lab-based work or the direct support thereof. We are looking for a Scientist/Senior Scientist to help support our customers’ realization of these solutions.

Who You Are

You are a scientist in bioprocess/pharma (e.g., fermentation, downstream process, screening, analytical/quality) who is passionate about using data to make decisions. You’ve worked on projects to bring together data from within your team and/or across multiple teams in order to answer sophisticated questions. You love the science behind the data, and you want to make sure that the data gets harnessed to its fullest potential. You like working with people, learning from them, as well as teaching them new ways to make the most of their work. You work to add value as much as you can, and you’re not afraid to roll up your sleeves and do some heavy lifting as needed.

The Experience

As a Scientist/Senior Scientist, you will develop a close relationship with Riffyn customers, serving as an advisor and guide to help them

use Riffyn’s software for the first time,

translate their R&D workflows and data systems to Riffyn, and

learn how to achieve unprecedented scientific insight using Riffyn’s technology.

In this role, you will tap your skills and experiences in experimental design, process improvement, assay systems, measurement systems, data analysis, and/or statistics to transition our customers from an environment of fragmented data—with data spread across notebooks, spreadsheets and databases—to one where data is instantly integrated, accessible and ready for scientific discovery.

Responsibilities

Work with customers to translate scientific workflows into Riffyn process designs

Help customers design experiments to address their R&D questions

Help customers pipe their data from various sources into Riffyn experiments

Assist customers to enhance their data analysis with scripted data analytics and visualizations

Channel your professional experience and customer feedback into feature requests for product development

Generate and maintain help documentation and videos, and write blog articles and journal publications.

Requirements

2-5 years’ industrial experience with a Ph.D. in chemical engineering, biology, analytical chemistry or related field; candidates with B.S/M.S. degrees and exceptional experience will also be considered

Proficiency using Excel, python or scripting languages for data capture, analysis and reporting

Experienced using JMP, R, Spotfire, Tableau or other software for multivariate data exploration or analysis

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